Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Centroid of a Body01:16

Centroid of a Body

The centroid is an important concept in engineering, physics, and mechanics. It is the geometric center of a body. It always lies within the body except in cases with holes or cavities. When the material that a body is composed of is uniform or homogeneous, the centroid coincides with its center of mass or the center of gravity.
For a homogeneous body with constant density, the centroid can usually be found using equations representing a balance of the moments of the body's volume. If the...
Centroid of a Body: Problem Solving01:03

Centroid of a Body: Problem Solving

The centroid of a body is a crucial concept in engineering and physics. Finding the centroid of a body can help determine its stability, its balance point, and even its design. In this context, consider a thin wire bent in the form of a quarter circular arc. Polar coordinates are used to calculate the centroid. The wire is first divided into small differential elements of a length equal to the radius multiplied by the differential angle.
The x-coordinates and y-coordinates of each element's...
Centroid for the Paraboloid of Revolution01:16

Centroid for the Paraboloid of Revolution

The paraboloid of revolution is an axially symmetric surface generated by rotating a parabola around its axis. This shape has several applications in mechanical engineering due to its advantageous structural properties, such as strength against stress concentration points and rotational symmetry.
The centroid for the paraboloid of revolution is the point where all the mass of the paraboloid is concentrated. This centroid is important for engineering applications, as it determines how forces are...
Moments of Inertia: Problem Solving01:14

Moments of Inertia: Problem Solving

The second moment of an area, also known as the moment of inertia of an area, is a geometric property of a shape that reflects its resistance to change. The moment of inertia of an area can be calculated for both two-dimensional and three-dimensional shapes. The moment of inertia of an area is calculated by taking the sum of the product of the area and the square of its distance from a chosen axis of rotation. For two-dimensional shapes, the moment of inertia can be expressed as a single...
Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)01:15

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT) is an advanced Nuclear Magnetic Resonance (NMR) technique specifically designed to detect and enhance the signals of low-abundance nuclei, such as carbon-13 and nitrogen-15, in small molecules. The fundamental principle behind INEPT is the transfer of polarization from a more abundant and highly polarizable nucleus, typically hydrogen-1, to the low-abundance nucleus of interest. This process effectively boosts the NMR signal of the...
Classification of Systems-II01:31

Classification of Systems-II

Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Predictive model of variables associated with health-related quality of life in patients with advanced chronic kidney disease receiving hemodialysis.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation·2020
Same author

Multiple Epidermolytic Acanthomas on the Scrotum: What Genital Pruritus Can Reveal.

Actas dermo-sifiliograficas·2017
Same author

Progressive limitation of mouth opening.

Actas dermo-sifiliograficas·2016
Same author

Allergic reactions to meglumine antimoniate while treating cutaneous leishmaniasis.

Journal of the European Academy of Dermatology and Venereology : JEADV·2016
Same author

In vivo reflectance confocal microscopy characterization of silver deposits in localized cutaneous argyria.

The British journal of dermatology·2016
Same author

Optimum rotation-invariant filter for disjoint-noise scenes.

Applied optics·2010

Related Experiment Video

Updated: Jul 6, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Invariant pattern recognition based on centroids.

S Chang1, H H Arsenault, P Garcia-Martinez

  • 1Optics Group, Institute for National Measurement Standards, National Research Council Canada, Building M-36, Ottawa, Ontario K1A OR6, Canada. shoude.chang@nrc.ca

Applied Optics
|March 21, 2008
PubMed
Summary

This study introduces a novel pattern recognition method using object centroids and conformal transforms. This approach achieves invariance to position, orientation, intensity, and scale for robust feature extraction.

More Related Videos

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Motion-Acuity Test for Visual Field Acuity Measurement with Motion-Defined Shapes
06:25

Motion-Acuity Test for Visual Field Acuity Measurement with Motion-Defined Shapes

Published on: February 23, 2024

Related Experiment Videos

Last Updated: Jul 6, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Motion-Acuity Test for Visual Field Acuity Measurement with Motion-Defined Shapes
06:25

Motion-Acuity Test for Visual Field Acuity Measurement with Motion-Defined Shapes

Published on: February 23, 2024

Area of Science:

  • Computer Vision
  • Image Processing
  • Pattern Recognition

Background:

  • Traditional pattern recognition methods struggle with variations in object appearance.
  • Invariance to transformations like scale, rotation, and intensity is crucial for real-world applications.

Purpose of the Study:

  • To develop a novel pattern recognition method invariant to changes in position, orientation, intensity, and scale.
  • To leverage object centroids and conformal transformations for robust feature extraction.

Main Methods:

  • Utilizing object centroids as unique points related to energy distribution.
  • Applying conformal transforms to rearrange object energy distribution and generate multiple centroids.
  • Creating a feature vector based on these derived centroids for pattern recognition.

Main Results:

  • The proposed method generates a feature vector invariant to position, orientation, intensity, and scale.
  • Conformal transforms enable the creation of multiple unique centroids from a single object.
  • Demonstrated potential for effective pattern recognition and object registration.

Conclusions:

  • The new method offers a robust solution for pattern recognition challenges.
  • Invariant feature vectors derived from conformal transform-based centroids enhance object recognition accuracy.
  • This technique holds promise for various computer vision and image analysis tasks.